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CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON

Doctor en Bioinformática, Universidad de Sao Paulo

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MESTRE EN CIENCIAS - CIENCIA DE LA COMPUTACAO (instituto de ciencias matematicas e de computacao - Universidad de sao paulo)

Ingeniero de Sistemas
DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Informática

Publicaciones

Se encontraron 57 publicaciones

PINEDA, F. E.; AYMA, V. A.; ADUVIRI, R. A.; BELTRAN, C. A.(2020). Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution. En Annual International Symposium on Information Management and Big Data SIMBig 2019: Information Management and Big Data. (pp. 291 - 298). Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-030-46140-9_27
GAVIDIA, C. G. y BELTRAN, C. A.(2020). Isula: A java framework for ant colony algorithms. SoftwareX. Volumen: 11. (pp. 1 - 8). Recuperado de: https://www.sciencedirect.com/science/article/pii/S2352711019300639
GARCIA, J. G.; VILLOTA, E. R.; BELTRAN, C. A.(2020). An Approach to Temporal Phase Classification on Videos of the Volleyball's Basic Reception Technique. En 4th International Conference on Compute and Data Analysis 2020. (pp. 148 - 151). ACM. Recuperado de: https://dl.acm.org/doi/abs/10.1145/3388142.3388150
PINEDA, F. E.; AYMA, V. A.; BELTRAN, C. A.(2020). A generative adversarial network approach for super-resolution of sentinel-2 satellite images. En 2020 24th ISPRS Congress - Technical Commission I, 31 August 2020 - 2 September 2020. (pp. 9 - 14). International Society for Photogrammetry and Remote Sensing. Recuperado de: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/9/2020/
GONZALEZ, J. M. M.; Sankaran, K.; AYMA, V. A.; BELTRAN, C. A.(2020). Application of Semantic Segmentation with Few Labels in the Detection of Water Bodies from Perusat-1 Satellite's Images. En 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020, 21 March 2020 - 26 March 2020. (pp. 483 - 487). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9165643
PUENTERNAN, W. y BELTRAN, C. A.(2019). A mixed model based on shape context and spark for sketch based image retrieval. En 5th International Conference on Information Management and Big Data, SIMBig 2018; Lima; Peru; 3 September 2018 through 5 September 2018; Code 223899. (pp. 341 - 348). Springer Verlag. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-030-11680-4_32
MEDINA, R. A.; BELTRAN, C. A.; Hashimoto, R.(2019). Automatic human sperm cells structure segmentation for abnormality detection in fertility diagnosis. journal of Computer Methods and Programs in Biomedicine.
MEDINA, R. A.; BELTRAN, C. A.; Hashimoto, R.(2019). Evaluation of the Impact of Initial Positions obtained by Clustering Algorithms on the Straight Line Segments Classifier. En 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018. (pp. 1 - 6). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/8625256